Prefiltering approach for optimal polynomial prediction

被引：9

作者：

Laakso, TI ^{[1
]}

Ovaska, SJ ^{[1
]}

机构：

[1] HELSINKI UNIV TECHNOL,LAB TELECOMMUN TECHNOL,SF-02150 ESPOO,FINLAND

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1996年 / 44卷 / 03期

关键词：

D O I：

10.1109/78.489043

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A prefiltering approach for optimal prediction of polynomial signals is proposed. The new scheme enables the use of an arbitrary stable prefilter for which an optimal FIR postfilter is designed such that polynomial signals of given order are predicted unchanged, Additional degrees of freedom are used for noise suppression, The advantages of the approach are demonstrated with examples employing a first-order recursive prefilter.

引用

页码：701 / 705

页数：5

共 7 条

[1]

[Anonymous], [No title captured]

[2] PREDICTIVE FIR FILTERS WITH LOW COMPUTATIONAL-COMPLEXITY [J].

CAMPBELL, TG ;

NEUVO, Y .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1991, 38 (09) :1067-1071

[3] FREQUENCY DE-ALIASED FFT ANALYSIS OF STEP-LIKE FUNCTIONS [J].

CORMACK, GD ;

MCMULLIN, JN .

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 1991, 40 (04) :773-775

[4] FIR-MEDIAN HYBRID FILTERS WITH PREDICTIVE FIR SUBSTRUCTURES [J].

HEINONEN, P ;

NEUVO, Y .

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1988, 36 (06) :892-899

[5] RECURSIVE LINEAR SMOOTHED NEWTON PREDICTORS FOR POLYNOMIAL EXTRAPOLATION [J].

OVASKA, SJ ;

VAINIO, O .

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 1992, 41 (04) :510-516

[6]

SCHUSSLER HW, 1988, ADV TOPICS SIGNAL PR

[7] ON DIGITAL SMOOTHING FILTERS - A BRIEF REVIEW OF CLOSED FORM SOLUTIONS AND 2 NEW FILTER APPROACHES [J].

STEFFEN, P .

CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 1986, 5 (02) :187-210

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